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Anh Duc Nguyen

2 accepted papers

2025

Layer-wise Quantization for Quantized Optimistic Dual Averaging

ICML 2025poster

Modern deep neural networks exhibit heterogeneity across numerous layers of various types such as residuals, multi-head attention, etc., due to varying structures (dimensions, activation functions, etc.), distinct representation characteristics, which impact predictions. We develop a general layer-…

Cited by 0SourcePDFScholar
2024

On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods

AAAI 2024technical

This paper studies the Partial Optimal Transport (POT) problem between two unbalanced measures with at most n supports and its applications in various AI tasks such as color transfer or domain adaptation. There is hence a need for fast approximations of POT with increasingly large problem sizes in a…